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Exploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branch

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dc.citedby12
dc.contributor.authorZhran M.en_US
dc.contributor.authorGhanem K.en_US
dc.contributor.authorTariq A.en_US
dc.contributor.authorAlshehri F.en_US
dc.contributor.authorJin S.en_US
dc.contributor.authorDas J.en_US
dc.contributor.authorPande C.B.en_US
dc.contributor.authorPramanik M.en_US
dc.contributor.authorHasher F.F.B.en_US
dc.contributor.authorMousa A.en_US
dc.contributor.authorid57553459500en_US
dc.contributor.authorid59368803100en_US
dc.contributor.authorid57212555041en_US
dc.contributor.authorid57224683617en_US
dc.contributor.authorid7401822381en_US
dc.contributor.authorid57216782359en_US
dc.contributor.authorid57193547008en_US
dc.contributor.authorid56835325700en_US
dc.contributor.authorid59252382600en_US
dc.contributor.authorid7102595132en_US
dc.date.accessioned2025-03-03T07:41:27Z
dc.date.available2025-03-03T07:41:27Z
dc.date.issued2024
dc.description.abstractFloods are the most common and costly disasters worldwide, while spatial flood risk assessment is still challenging due to fewer observations and method limitations. In this study, the flood risk zonation in the Nile districts of the Damietta branch, Egypt, is delineated and assessed by integrating remote sensing with a geographic information system, and an analytical hierarchy process (AHP). Twelve thematic layers (elevation, slope, normalized difference vegetation index, topographic wetness index, modified normalized difference water index, topographic positioning index, stream power index, modified Fournier index, drainage density, distance to the river, sediment transport index, and lithology) are used for producing flood susceptibility zonation (FSZ) and six parameters (total population, distance to hospital, land use/land cover, population density, road density, and distance to road) are utilized for producing flood vulnerability zonation. Multicollinearity analysis is applied to identify highly correlated independent variables. Sensitivity studies have been used to assess the effectiveness of the AHP model. The results indicate that the high and very high flood risk classes cover 21.40% and 8.26% of the area, respectively. In 14.07%, 27.01%, and 29.26% of the research area, respectively, flood risk zones classified as very low, low, and moderate are found. Finally, FSZ is validated using the receiver operating characteristics curve and area under curve (AUC) analysis. A higher AUC value (0.741) in the validation findings demonstrated the validity of this AHP approach. The results of this study will help planners, hydrologists, and managers of water resources manage areas that are susceptible to flooding and reduce potential harm. ? The Author(s) 2024.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo184
dc.identifier.doi10.1186/s12302-024-01001-9
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85206497449
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85206497449&doi=10.1186%2fs12302-024-01001-9&partnerID=40&md5=faa4dc80c3b94d596caaa4514880c8f3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36149
dc.identifier.volume36
dc.publisherSpringeren_US
dc.relation.ispartofAll Open Access; Gold Open Access
dc.sourceScopus
dc.sourcetitleEnvironmental Sciences Europe
dc.subjectDamietta
dc.subjectEgypt
dc.subjectNile [Uganda]
dc.subjectUganda
dc.subjectFlood damage
dc.subjectHierarchical systems
dc.subjectHighway administration
dc.subjectPopulation statistics
dc.subjectRisk analysis
dc.subjectRisk assessment
dc.subjectVegetation mapping
dc.subjectAnalytic hierarchy
dc.subjectAnalytical Hierarchy Process
dc.subjectArea under curve
dc.subjectFlood risk assessments
dc.subjectFlood risks
dc.subjectMultiple criteria decision analysis
dc.subjectMultiple criteria decision analyze
dc.subjectRemote sensing and GIS
dc.subjectROC
dc.subjectSensitivity analyzes
dc.subjectanalytical hierarchy process
dc.subjectdecision analysis
dc.subjectflood damage
dc.subjectGIS
dc.subjectremote sensing
dc.subjectrisk assessment
dc.subjectsediment transport
dc.subjectsensitivity analysis
dc.subjectvulnerability
dc.subjectSensitivity analysis
dc.titleExploring a GIS-based analytic hierarchy process for spatial flood risk assessment in Egypt: a case study of the Damietta branchen_US
dc.typeArticleen_US
dspace.entity.typePublication
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